Case Study
Retargeting on Facebook/ Google/ Tiktok Ads
Project highlight: Delivering a CDP-powered retargeting system that captures customer browsing behavior and delivers personalized ads across Facebook, Google, and TikTok to recover lost conversions and improve return on ad spend.
About client: An e-commerce business operating across multiple product categories — such as fashion and footwear — seeking to increase online conversion rates and maximize the value of their existing web traffic.
Client Challenges:
- High cart-abandonment rate — customers browse and search products but leave without purchasing.
- No mechanism to re-engage visitors after they leave the website.
- Significant advertising budget wasted on cold audiences with low purchase intent.
- Inability to personalize ad creatives based on individual browsing history.
Solutions:
- CDP data capture: Track customer actions — product views, searches, login events, and abandoned sessions — in r.
- Audience segmentation: Automatically group users by behavior (viewed, searched, didn't purchase, logged in) to build high-intent audiences.
- Cross-platform retargeting: Deliver dynamic, product-specific ads on Facebook, Google, and TikTok tailored to each segment.
- Conversion optimization: Use behavioral signals to serve the most relevant ad at the right moment and channel.
Benefits:
- Recover lost conversions: Re-engage high-intent visitors who left without purchasing and bring them back through relevant, timely ads.
- Improve ad efficiency: Focus ad spend on warm, qualified audiences instead of cold traffic, lowering cost per acquisition.
- Personalized customer experience: Show each customer the exact products they viewed or searched for, increasing relevance and click-through rate.